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Generate Product List and Ranking from 36 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

Generate Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

  1. ヒューリンクス Tokyo//software
  2. WOGO Tokyo//Information and Communications
  3. ダイオーミウラ Tokyo//others
  4. 4 SOPPRA Digital transformation Tokyo//Information and Communications
  5. 5 南海モルディ株式会社(旧:南海鋼材株式会社) Osaka//Industrial Machinery

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Last Updated: Aggregation Period:Sep 02, 2026~Sep 29, 2026
This ranking is based on the number of page views on our site.

  1. 比較結果が一目でわかる新旧対照表を簡単操作で自動生成 ヒューリンクス
  2. Generation of a comparison table that clearly shows the results of old and new documents - 'Old and New Document Word Version' ヒューリンクス
  3. S-Trandim - automatic 3D model generation from 2D drawings WOGO
  4. 4 Generative AI-OCR ダイオーミウラ
  5. 5 New and Old Comparison Table Generation 'New and Old Document Excel Version' that Clearly Shows Comparison Results at a Glance ヒューリンクス

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Text generation AI utilizing Davinci used in ChatGPT.

An AI that reproduces the blog of Gunma Prefectural Governor Ichita Yamamoto using Davinci utilized in ChatGPT.

Features Developed using Davinci, which is utilized in ChatGPT. This AI aims to replicate the blog of the Governor of Gunma Prefecture. Based on the information learned by Davinci, it can generate appropriate text. Additionally, it can generate suitable text according to topics or themes specified by the user. Use Cases Not only can it replicate the blog of the Governor of Gunma Prefecture, but it can also be applied in various fields. For example, it can be used for efficient content creation, such as managing blogs for politicians or celebrities. Furthermore, in the fields of education and learning, the generated text can be used to enhance writing skills and other related abilities.

  • EAI/ETL/WEB application server
  • Document and Data Management
  • Generate

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Can I use opt-out?

Explaining the difference from opt-in! Introducing applications where opt-out is possible.

Opting out is one way to handle personal information. It may seem like a hassle-free method, but there are various legal constraints that must be adhered to in order to handle it correctly. Additionally, it is not guaranteed to be applicable for all purposes. In this article, we will provide a detailed explanation of opting out, including its counterpart "opting in." Let's take a closer look at its features, points of caution, and the purposes for which opting out is possible. *For detailed content of the column, please refer to the related links. For more information, feel free to contact us.*

  • Technical and Reference Books
  • Generate

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S-Trandim - automatic 3D model generation from 2D drawings

Generate 3D models of equipment automatically from 2D outline drawings, cutting the work of 3D modelling by around 90%.

S-Trandim automatically generates 3D models of equipment from 2D outline drawings (DXF). It is built for designers who handle equipment in building BIM, and for those planning factory and plant layouts. In building BIM and factory concept studies, layout simulation, delivery-route studies and piping connection design all assume a 3D model exists. Equipment manufacturers, however, typically supply only 2D drawings - two-view, three-view or six-view - so designers had no choice but to model each piece of equipment by hand while reading the drawings. S-Trandim analyses the imported multi-direction views algorithmically and generates the 3D geometry automatically. After generation you can verify the result side by side with the drawing or by overlaying it, and add any missing geometry by hand - all within the application. 3D modelling drops from an average of 5 hours per unit to 30 minutes in total, a reduction of roughly 90% (compared with a designer building the model in 3D CAD; source: our 2026 product deck). Generated models are exported as IFC or Rebro3DShape so they drop straight into your existing BIM/CAD workflow.

  • Company:WOGO
  • Price:Other
  • Image Processing Software
  • Generate

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Generative AI-OCR for the Retail Industry

Support for inventory optimization: Streamlining label verification and inspection tasks with AI.

In the retail industry, accurate inventory management and efficient shipping and receiving operations are required. In particular, the verification of various product labels and invoices, as well as inspection tasks, can take a long time due to visual checks, which also carry the risk of human error. Challenges such as mistakes from handwritten records, the complexity of managing a wide variety of label types and forms, and the personalization of tasks due to differences in accuracy between newcomers and veterans can impact the accuracy of inventory management and operational efficiency. Managing with paper can make it difficult to check progress and history, potentially hindering rapid decision-making. Our company proposes 'Generative AI-OCR,' which contributes to the efficiency of shipping and receiving operations and reduces inspection errors with flexible OCR capabilities to address these challenges. [Usage Scenarios] - Reading product labels upon arrival - Confirming product information during inventory checks - Inspection tasks during shipping - Digitizing handwritten invoices [Benefits of Implementation] - Improved work quality through reduced errors - Increased efficiency and standardization of tasks - Visualization of work history and progress - Reduction of human errors

  • p_ai_image_recognition_ocr_22.png
  • p_ai_image_recognition_ocr_23.png
  • p_ai_image_recognition_ocr_24.png
  • Image analysis software
  • Generate

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AI-OCR for Logistics

Streamlining label verification and inspection tasks with AI to support logistics operations.

In the logistics industry, accuracy and speed in shipping and receiving operations are essential. Particularly in environments where a wide variety of labels coexist, the time taken for visual confirmation can be significant, raising concerns about the risk of human error. Issues such as mistakes from handwritten records, the complexity of managing numerous types and forms of labels, and the variability in accuracy between new and experienced staff contribute to inefficiencies in operations. Managing with paper can make it difficult to track progress and history, hindering the overall visibility of business workflows. Our company’s "Generative AI-OCR" addresses these challenges by contributing to the efficiency of shipping and receiving operations and reducing inspection errors with flexible OCR capabilities. 【Use Cases】 ▪ Reading information such as product names, lot numbers, and quantities on labels ▪ Inspection tasks during shipping and receiving ▪ Inventory management within warehouses ▪ Confirming packages along delivery routes 【Benefits of Implementation】 ▪ Improved work quality through error reduction ▪ Increased efficiency and standardization of tasks ▪ Enhanced visibility of work history and progress ▪ Reduction of human errors

  • p_ai_image_recognition_ocr_22.png
  • p_ai_image_recognition_ocr_23.png
  • p_ai_image_recognition_ocr_24.png
  • Image analysis software
  • Generate

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比較結果が一目でわかる新旧対照表を簡単操作で自動生成

改定前後の文書から簡単操作で自動的にWord形式の新旧対照表を出力します。 文字の書式比較も可能です。Excel版もあります。

-------------------------------------------- v6.1 8/31リリース  -------------------------------------------- ☆新機能☆ ・目次や相互参照も文字で比較できるようになりました。 ・追加と削除されたセルに色を付けて表の差分が分かりやすくなりました。 ・対照表のタイトル行にファイル名を出力して、比較したファイルが分かりやすくなりました。 ------------------------------------------------------------ 新旧文書 Word 版 は、Microsoft Word のプラグインとして動作します。 ■新旧比較  旧ファイルと新ファイルを読み込み、「新旧対照表」を作成。  「スタイル設定ツール」を使い、列の入れ替え、備考欄の「変更」「削除」  などの表記の変更、表タイトルの編集などが可能。 ■新文書作成  元文書を読み込み、新旧対照表を生成しながら新文書を作成。

  • Catalog and manual creation
  • Document and Data Management
  • Generate

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"Instant Completion" Code Generation AI

By simply uploading the design document, you can take care of tedious tasks all at once.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes various design documents - Completes programs that would take humans 3 days in just 2 minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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An AI for automatic code generation that refreshes half a century of common knowledge.

We will dramatically streamline labor-intensive processes and establish next-generation development standards.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes various design documents - Completes programs that would take a human three days in just two minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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"Leave it to AI" Challenge: Now, Code Generation AI

AI solves the challenges of the development field. New options will change the future of projects.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes various design documents - Completes programs that would take humans 3 days in just 2 minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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An AI for automatic code generation that brings human errors close to zero.

We enhance both quality and efficiency through code generation that ensures logical consistency.

"CodeAGI" is an application service that uses AI to analyze corporate design documents and databases, automatically generating program code in an instant. By simply preparing design documents, it generates program code, test cases, test data, and more at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development time and costs, significantly improving development speed. 【Features】 ■ SOPPRA's unique AI analyzes diverse design documents ■ Completes programs that would take a human three days in just two minutes ■ Capable of generating test cases/data ■ Ensures consistency for each component ■ Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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An AI that pushes you forward, code generation AI.

CodeAGI solves challenges and supports project progress.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. 【Features】 ■ SOPPRA's unique AI analyzes various design documents ■ Completes programs that would take humans 3 days in just 2 minutes ■ Capable of generating test cases/data ■ Consistency maintained for each component ■ Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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AI supports the team, code generation AI.

We will enhance the productivity of all members and promote smooth collaboration.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at hundreds of times the speed of a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. 【Features】 ■ SOPPRA's unique AI analyzes various design documents ■ Completes programs that would take a human three days in just two minutes ■ Capable of generating test cases/data ■ Consistency maintained for each component ■ Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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Creating future development standards, code auto-generation AI

We lead the industry with advanced efficiency and high-precision code generation.

"CodeAGI" is an application service that analyzes corporate design documents using AI and automatically generates program code instantly. By simply preparing the design documents, it generates program code, test cases, and test data at hundreds of times the speed of a human. Additionally, it can dramatically reduce development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes diverse design documents - Completes programs that would take a human three days in just two minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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In the era of 'That will be done by AI,' code generation AI.

Leave all repetitive tasks and complex processes to AI. CodeAGI will create a new standard.

"CodeAGI" is an application service that analyzes corporate design documents and databases using AI to automatically generate program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes various design documents - Completes programs that would take a human three days in just two minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database designs and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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Creating a different tomorrow than yesterday, code generation AI.

CodeAGI changes the flow of projects. Experience speed and efficiency.

"CodeAGI" is an application service that uses AI to analyze corporate design documents and databases, automatically generating program code instantly. By simply preparing design documents, it generates program code, test cases, and test data at speeds hundreds of times faster than a human. Additionally, it dramatically reduces development man-hours and costs, significantly improving development speed. [Features] - SOPPRA's unique AI analyzes diverse design documents - Completes programs that would take humans three days in just two minutes - Capable of generating test cases/data - Ensures consistency for each component - Analyzes database design and generates SQL while maintaining consistency *For more details, please refer to the related links or feel free to contact us.

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Eitos Corporation

Generative AI for the manufacturing industry - CayzenAI (Environmental Safety/Data Analysis)

This is a generative AI solution specialized for the manufacturing industry. The generative AI analyzes numerical data from the field and can deliver the analysis results through regular reports. It supports risk assessment (related to environmental and occupational health and safety regulations) and assists in decision-making regarding the introduction of equipment and the use of chemical substances in the field. By learning from field reports and maintenance records, it enables knowledge sharing, allowing employees to ask questions about internal information via chat, just like veteran staff.

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[Consulting for Manufacturing Industry] Utilization Scene 2 Quality Control × Generative AI

Detecting minute defects in real time! Reducing human errors.

We would like to introduce what can be achieved by utilizing generative AI in quality management. Automating quality inspections with AI-based image recognition. It detects minute defects in real-time, improving the accuracy of quality management and reducing human errors. Please feel free to contact us when needed. 【Features】 ■ Automation of quality inspections ■ Real-time detection of minute defects ■ Improved accuracy of quality management ■ Reduction of human errors *For more details, please refer to the related links or feel free to contact us.

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I don't know how to model with generative AI and blockchain.

[Consulting for Manufacturing Industry] Comprehensive support from specific business model proposals to system development!

Our company offers comprehensive and phased "AI & Blockchain Consulting and System Development Support Services" tailored to meet the business needs of our clients. Do you have concerns like "I have an idea for a new business, but I don't know how to turn it into a business model" when utilizing generative AI and blockchain? We provide total support for this challenge, from generating business ideas using generative AI and blockchain to market analysis, prototype development, and system development. [Service Contents] ■ Generation of Business Ideas ■ Market Analysis ■ Prototype Development ■ System Development *For more details, please refer to the related links or feel free to contact us.

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Business Innovation Strategies Learned from Use Cases of Generative AI in the Gaming Industry

Innovation in the game development process! The introduction of generative AI has significantly improved efficiency.

Generative AI is bringing a new revolution to the gaming industry, and its market size is rapidly expanding. According to recent research, the generative AI market is expected to reach $650 million by 2030, with an astonishing compound annual growth rate (CAGR) of 48.2%. The background of this rapid growth includes practical benefits such as improved development efficiency and expanded creativity provided by generative AI. Compared to traditional manual game development, generative AI can automatically generate vast amounts of content, allowing for reduced development costs while making creative ideas a reality. *For more details, please refer to the related links. For further inquiries, feel free to contact us.*

  • Other information systems
  • Generate

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Estimating physical condition from heart rate interval variability measurement using radar biometric sensors.

Incorporate into prompt generation to realize a proposal-type in-car service!

Our company can estimate physical condition based on heart rate variability measurements from radar bio-sensors. Using a 60GHz radar bio-sensor, we measure heart rate variability (rr-i) and estimate physical condition such as "tension," "relaxation," and "alertness" on a five-point scale. The estimated levels of physical condition and feelings are output to a prompt generation tool. We support the development of a proof of concept (PoC) integrated into in-vehicle AI assistants. 【Process Flow】 1. Measure heart rate variability (rr-i) using a 60GHz radar bio-sensor. 2. Estimate physical condition on a five-point scale through LF/HF calculations and a matrix table. 3. Output the estimated levels of physical condition and feelings to the prompt generation tool. 4. Add individual profiles and output to generative AI. 5. The generative AI plays recommended songs based on the individual status prompt. 6. Monitor changes in physical condition and feelings with the radar bio-sensor for the next suggestion. *For more details, please download the PDF or feel free to contact us.

  • Sensors
  • Sensors
  • Other Sensors
  • Generate

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Material generation

We also support various test firing and test processing! We will assist in the creation of new materials.

We assist in the generation of new materials through chemical changes caused by firing. We also work together on various trial firings and processing tests. Please feel free to contact us when you need our services. 【What Sugiura Ceramics Can Do】 ■ Reduction of environmental impact through the reuse of food ■ Formation of a circular product cycle ■ Support for the development of new products and the establishment of new businesses ■ Removal of impurities ■ Generation of materials *For more details, please refer to the related links or feel free to contact us.

  • Processing Contract
  • Other contract services
  • Generate

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【教育向け】DiFarsion - 動画・画像・3D生成AI

教育現場の教材を革新!動画・画像・3Dを生成するAI

教育業界では、生徒の理解を深め、学習効果を高めるために、視覚的に訴求力の高い教材が求められています。特に、複雑な概念や抽象的な内容を教える際には、動画や3Dモデルを活用することで、生徒の興味を引きつけ、理解を促進することが重要です。しかし、高品質な教材の作成には、時間とコストがかかるという課題があります。DiFarsionは、Diffusionモデル、NeRF、Gaussian Splattingなどの先進技術を活用し、教育現場で活用できる高品質な画像生成、動画生成、3D再構成・生成システムを開発します。 【活用シーン】 ・科学、技術、工学、数学(STEM)分野の教材 ・歴史、地理、社会科の教材 ・美術、デザインの教材 ・語学学習の教材 ・eラーニングコンテンツ 【導入の効果】 ・教材作成の時間とコストを削減 ・生徒の学習意欲と理解度を向上 ・多様な学習スタイルに対応 ・教育コンテンツの質を向上

  • Other information systems
  • Generate

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【製造業向け】DiFarsionによるプロトタイプ生成

高品質な画像・動画・3D生成AIで、製造業のプロトタイプ開発を加速!

製造業におけるプロトタイプ開発では、製品の設計段階での可視化と検証が重要です。特に、3Dモデルや動画によるシミュレーションは、製品の機能性やデザインを早期に評価するために不可欠です。しかし、従来のプロトタイプ作成には時間とコストがかかるという課題があります。DiFarsionは、Diffusionモデル、NeRF、Gaussian Splattingなどの先進技術を活用し、高品質な画像生成、動画生成、3D再構成・生成システムを開発することで、製造業におけるプロトタイプ開発を効率化します。 【活用シーン】 ・製品デザインの3Dモデル生成 ・製造プロセスのシミュレーション動画作成 ・製品外観の高品質な画像生成 ・試作品のバーチャル検証 【導入の効果】 ・開発期間の短縮 ・コスト削減 ・設計品質の向上 ・早期段階での問題発見

  • Other information systems
  • Generate

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Don't write or edit! AI automatically generates manuals from work videos.

AI automatically creates work manuals! Just upload a video and it's done in 5 minutes! "AI Manual Coach"

【Service Features】 ● Create manuals in 5 minutes Simply upload your work videos! Automatically generate video manuals and work procedure documents without editing! This can streamline the process setup. ● Work analysis is also possible Based on videos of skilled and unskilled workers, we verbalize the differences and create improvement proposal reports! This can enhance skill transfer and new employee training efficiency. ● Easy to implement With features like multilingual support, standard work combination output, skill management, and application workflows, it offers a wealth of convenient functions! You can implement it without changing your operations.

  • Other information systems
  • Generate

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Improving Business Efficiency with ChatGPT for Textile Product Manufacturing! AI Utilization Techniques

Ways to Utilize ChatGPT to Expand the Possibilities of Design Proposals

In the textile manufacturing industry, enhancing the quality of design proposals and improving operational efficiency are crucial for maintaining competitiveness in the market. Particularly, grasping trends and creating diverse design ideas tailored to customer needs can be a creative process that often requires a significant amount of time. ChatGPT, as an AI that can draw out ideas in a conversational manner, contributes to solving this challenge. Even without special expertise, it is possible to gain design inspiration or receive support in creating proposal documents by casually asking questions or seeking advice. This helps shorten the time spent on design proposals and allows for the consideration of more ideas. This article explains how ChatGPT can be utilized in design proposals for the textile manufacturing industry, detailing specific benefits and implementation methods. 【Utilization Scenarios】 - Generating ideas for new design concepts - Assisting in design proposals based on trends and market needs - Supporting the writing of proposal documents - Rapid generation of design ideas in response to customer requests

  • Other services
  • Other information systems
  • Generate

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Semi-Dry Processing.com: Differences and Advantages of Processing Equipment - Generation of Mist

The transition to semi-dry processing alternatives has begun! An explanation of the functions and features of semi-dry processing equipment.

There is still no proper definition for semi-dry processing itself, and many companies are considering its application. Since 2000, it has been reported that some companies with high production technology have begun to transition from wet processing to semi-dry processing. This article explains the functions and features of semi-dry processing equipment. Please take a look at the related links. [Contents] ■ (1) Mist oil lubrication ■ (2) Oil-air lubrication ■ (3) Lubrication characteristics of mist particles ■ (4) Cooling improvement of mist particles *Detailed content of the article can be viewed through the related links. For more information, please feel free to contact us.

  • Cutting Oil
  • Other consumables
  • Other machine tools
  • Generate

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AI-OCR for Manufacturing Industry

Streamlining label verification and inspection tasks with AI to support quality control.

In quality control within the manufacturing industry, accurate identification of products and ensuring traceability are required. Particularly in environments where a wide variety of labels and forms are used, visual confirmation can be time-consuming, and there is a possibility of errors occurring due to handwritten records. Additionally, the differences in accuracy between new and veteran employees can lead to individual reliance, and managing progress and history on paper can pose challenges. These issues can increase the risk of human error and potentially lead to a decline in work quality. Our proposed 'Generative AI-OCR' addresses these challenges and contributes to improving quality control. 【Usage Scenarios】 ▪ Manufacturing lines with a wide variety of label types and formats ▪ Inspection tasks that require significant time for visual checks ▪ Situations where there is a desire to reduce errors from handwritten records ▪ Environments where there is a need to eliminate individual reliance and promote standardization 【Benefits of Implementation】 ▪ Improved work quality through error reduction ▪ Increased efficiency and standardization of tasks ▪ Visualization of work history and progress ▪ Reduction of human errors

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  • Image analysis software
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AI-OCR for Construction Sites

Streamlining construction site progress management with AI.

In the construction industry, it is essential to accurately grasp the progress of the site and advance projects without delays. In particular, managing paper-based records such as material delivery logs and work reports poses challenges due to manual input errors and the time required for verification. These issues can lead to delays and increased costs for the entire project. Our "Generative AI-OCR" contributes to the efficiency of progress management and the reduction of errors by automatically reading information such as item names and quantities simply by photographing various labels and forms that occur on-site. [Usage Scenarios] - Reading label information during material delivery - Digitizing work reports - Recording and verifying progress status [Benefits of Implementation] - Increased efficiency and standardization of work - Visualization of progress and history - Reduction of human errors

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  • Image analysis software
  • Generate

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AI-OCR for the Energy Industry

Streamlining label verification and inspection tasks in equipment inspections with AI.

In the energy industry, it is essential to accurately understand the safety and operational status of equipment during inspections. In particular, the labels on equipment used in the field contain important information such as model numbers, manufacturing dates, and inspection histories. Accurately and quickly reading this information is crucial for improving the quality and efficiency of inspection work. Manual verification takes time and carries the risk of transcription errors. Our company’s "Generative AI-OCR" addresses these challenges by automatically reading information such as product names, lot numbers, and quantities simply by photographing labels and forms, contributing to improved accuracy and speed in inspection tasks. [Use Cases] - Inspection records of equipment labels within plants - Verification of model numbers and manufacturing dates of maintenance parts - Reading and digitizing inspection history labels [Benefits of Implementation] - Speeding up inspection tasks - Reducing human errors due to recording mistakes - Improving the accuracy of inspection data and facilitating management

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  • Image analysis software
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AI-OCR for Agriculture

Contributing to fertility prediction: Streamlining label verification and inspection tasks with AI.

In the agricultural sector, it is essential to accurately grasp the growth status of crops and carry out appropriate management. Particularly in managing growth data and materials for each field, the accuracy and efficiency of records are crucial. Handwritten records and the verification of various material labels require time and effort, and they also carry the risk of human error. In response to these challenges, our "Generative AI-OCR" supports the collection of data necessary for growth predictions by automatically reading information such as product names and quantities simply by photographing labels and forms. Since AI reads characters and content in the same way that a person would look at a label, it can flexibly handle a wide variety of labels. [Use Cases] - Reading material labels - Digitizing growth records - Collecting information for yield predictions [Benefits of Implementation] - Increased efficiency in recording tasks - Reduction of data entry errors - Improved accuracy of growth predictions

  • p_ai_image_recognition_ocr_22.png
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  • Image analysis software
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